Research on the interaction system of English education robot based on end-to-end speech recognition modeling

The study of English educational robot interaction system based on end-to-end speech recognition model aims to explore the use of advanced speech recognition technology to improve the interaction effect and user experience of English educational robots. This paper firstly introduces the basic principle of end-to-end speech recognition model and its advantages in the application of educational robots, and then designs and implements a set of English educational robot interaction system integrating end-to-end speech recognition technology, focusing on solving the problems of accuracy of speech recognition and naturalness of interaction. Through the integrated application of system architecture design, model optimization, and human-robot interaction strategies, the system is able to achieve efficient, real-time speech comprehension and feedback, which enhances the learners' language practice opportunities and learning interests. Finally, the effectiveness of the system in terms of speech recognition performance and teaching effect is verified through experiments and user evaluation, which provides a theoretical basis and practical reference for the application of speech interaction technology in the field of intelligent education.